Optimization of selectivity in capillary zone electrophoresis and micellar electrokinetic capillary chromatography using the iterative regression strategy

Abstract

AbstractAn iterative regression design has been used in the optimization of selectivity in capillary zone electrophoresis and micellar electrokinetic capillary chromatography. This strategy, initially developed for HPLC, is modified in respect of the choice of the parameter(s) and the parameter space and the description of the migration behavior of (charged) solutes in capillary electrophoresis. The six test solutes could not be fully resolved by adjusting the pH in a free zone system but the simultaneous two‐parameter optimization of the pH and the concentration of surfactant resulted in baseline separation of all the solutes. Further improvement may be obtained when distorted peak shapes are also considered at the level of the parameter choice and the criterion.